Curator Dashboard

A publicly accessible, relational database of G-proteins and their interactions with GPCRs and effector molecules. The sequences are classified according to a hierarchy of different classes, families and sub-families, based on extensive literature search. There is full sequence information with cross-references to publicly available databases, and the user may submit advanced queries for text search. Furthermore there is an interface for running BLAST against the database and a pattern search tool. The main innovation besides the classification of both G-proteins and GPCRs is the relational model of the database, describing the known coupling specificity of the GPCRs to their respective alpha subunit of G-proteins and also the interaction between G-protein subfamilies and specific effector types, a unique feature not available in any other database. The database will be very useful for the study of G-protein/GPCR and G-protein/effector interactions and for future development of algorithms predicting this interaction.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

It is a widely used resource for researchers trying to find the causes of, and better treatments for, schizophrenia, bipolar disorder and major depression. Brains were collected 1994 to 2005 with the permission of the families in a standardized manner, with half of each specimen being frozen and half fixed in formalin. Currently four cohorts are available for study; the Neuropathology Consortium consisting of 60 cases (15 each schizophrenia, bipolar disorder, depression, and controls), the Array Collection consisting of 105 cases (35 each schizophrenia, bipolar disorder, and controls), the Depression Collection consisting of 36 cases (12 each depression with psychosis, depression without psychosis, and controls), and the Parietal Collection of 48 cases (fixed inferior parietal sections from 24 each schizophrenia and controls). Since 1996, the Stanley Brain Collection has sent over 200,000 sections and 10,000 blocks of brain tissue to 240 research laboratories in 23 states and 20 foreign countries. All tissue has been provided to the researchers without charge. All costs for collecting, processing, and storing the brain tissue have been borne by The Stanley Medical Research Institute as a public service. All reasonable requests for brain tissue (over 90 percent of applications) have been honored. Researchers selected to receive tissue must sign an agreement that sets forth conditions for its use. Results received from researchers become part of the Stanley brain collection data set and will be used for integrative, multivariate analyses. In addition to overseeing the brain collection, the laboratory conducts research on the neuropathology of schizophrenia and bipolar disorder and on brain development. Many studies carried out at the Stanley Brain Research Laboratory are done in cooperation with studies at the Stanley Laboratory of Developmental Neurovirology.

• Resource
• SciCrunch
• 15 years ago - by Anonymous

A structured controlled vocabulary for the anatomy of Gramineae. Please note that this ontology has now been superseded by the Plant Ontology, http://bioportal.bioontology.org/ontologies/1587.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Atlases of human brain, thoracic viscera and knee designed for teaching gross anatomy. Also provides a neuroanatomy Interactive syllabus, suitable as a laboratory guide, with an instructive caption accompanying each image and interactive quizzes. The Digital Anatomist Project is motivated by the belief that anatomy is the basis of all the biomedical sciences (including clinical medicine). Manifestations of health and disease can be regarded as attributes of anatomical structures ranging in size from molecules to body parts. Therefore DAP''s goal is to represent anatomy in a comprehensive and consistent way, which should meet the needs of all biomedical applications that require anatomical knowledge. DAP has pursued two parallel tracks for representing anatomical information: 1. The generation of graphical models derived from cadaver and clinical imaging data; and 2. Symbolic modeling of the structures and relationships that constitute the human body. It''s initial work with graphical representations of anatomy provided the impetus and motivation for the National Library of Medicine to establish the Visible Human Project, and it''s symbolic modeling has enhanced NLM''s Unified Medical Language System in order to represent deep anatomical knowledge. In collaboration with the knowledge systems group at Stanford, it has now created a very large knowledge base which provides the foundation for the machine-based intelligence needed to remotely interact with biomedical image data.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Software application that is part of the LINKAGE auxiliary programs (entry from Genetic Analysis Software)

• Resource
• SciCrunch
• 14 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 29,2025. Database of functional residues in alpha-helical and beta-barrel membrane proteins. Each protein is identified with its name and source alongwith the Uniprot code. The protein data bank (PDB) codes are also given for available proteins. Different methods and experimental parameters, for example, affinity, dissociation constant, IC50, activity etc. are given in the database. Further, the database provides the numerical experimental value for each residue (or mutant) in a protein. The experimental data are collected from the literature both by searching the journals as well as with the keyword search at PUBMED. In addition, complete reference is given with journal citation and PMID number. TNFunction is cross-linked with the sequence database, Uniprot, structural database, PDB, and literature database, PubMed. The WWW interface enables users to search data based on various terms with different display options for outputs.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 29,2025. Database of functional residues in alpha-helical and beta-barrel membrane proteins. Each protein is identified with its name and source alongwith the Uniprot code. The protein data bank (PDB) codes are also given for available proteins. Different methods and experimental parameters, for example, affinity, dissociation constant, IC50, activity etc. (Details are available at the "Help" page) are given in the database. Further, we have provided the numerical experimental value for each residue (or mutant) in a protein. The experimental data are collected from the literature both by searching the journals as well as with the keyword search at PUBMED. In addition, complete reference is given with journal citation and PMID number. TNFunction is cross-linked with the sequence database, Uniprot, structural database, PDB, and literature database, PubMed. The WWW interface enables users to search data based on various terms with different display options for outputs.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 2, 2016. SysZNF is an information resource for C2H2 Zinc Finger genes in humans and mice. C2H2 Zinc Finger genes (C2H2-ZNF) constitute the largest class of transcription factors in humans and mouse. C2H2 zinc finger proteins primarily bind to DNA. In most cases, they attach to regions near certain genes and turn the genes on and off as needed. The researches on these genes show light on the evolution of gene regulation systems and development. Therefore, we develop SysZNF (Systematical information resource of Zinc Finger genes) to collect the information related to C2H2 Zinc Finger genes. The aim of SysZNF was to provide a user-friendly interface for rendering the information (DNA, Expression, Protein, Reference and so on) of each C2H2-ZNF (e.g., ZNF10) and to enable a comprehensive analysis of C2H2-ZNF. This project was supported by the Proteome-Center at Rostock University (PCRU) who conceives the concept of the database and Key laboratory of Systems biology at the Shanghai Institute for Biological Sciences (SIBS) who implemented the database. It is maintained jointly by PCRU and SIBS.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Ontology that describes multi-cell computational models. In particular to describe both the existential behaviors of cells (spatiality, growth, movement, adhesion, death, ...) and computational models of those behaviors.

• Resource
• SciCrunch
• 13 years ago - by Anonymous

Part of zebrafish genome project. ZGC project to produce cDNA libraries, clones and sequences to provide complete set of full-length (open reading frame) sequences and cDNA clones of expressed genes for zebrafish. All ZGC sequences are deposited in GenBank and clones can be purchased from distributors of IMAGE consortium. With conclusion of ZGC project in September 2008, GenBank records of ZGC sequences will be frozen, without further updates. Since definition of what constitutes full-length coding region for some of genes and transcripts for which we have ZGC clones will likely change in future, users planning to order ZGC clones will need to monitor for these changes. Users can make use of genome browsers and gene-specific databases, such as UCSC Genome browser, NCBI's Map Viewer, and Entrez Gene, to view relevant regions of genome (browsers) or gene-related information (Entrez Gene).

• Resource
• dkNET
• 17 years ago - by Anonymous

Comprehensive three-dimensional digital atlas database of the C57BL/6J mouse brain based on magnetic resonance microscopy images acquired on a 17.6-T superconducting magnet. This database consists of: Individual MRI images of mouse brains; three types of atlases: individual atlases, minimum deformation atlases and probabilistic atlases; the associated quantitative structural information, such as structural volumes and surface areas. Quantitative group information, such as variations in structural volume, surface area, magnetic resonance microscopy image intensity and local geometry, have been computed and stored as an integral part of the database. The database augments ongoing efforts with other high priority strains as defined by the Mouse Phenome Database focused on providing a quantitative framework for accurate mapping of functional, genetic and protein expression patterns acquired by a myriad of technologies and imaging modalities. You must register First (Mandatory) and then you may Download Images and Data.

• Resource
• SciCrunch
• 16 years ago - by Anonymous

MiCroKit database is the first integrative resource to pin point most of identified components and related scientific information of midbody, centrosome and kinetochore. In this work, we have collected all proteins identified to be localized on kinetochore, centrosome, and/or midbody from two fungi (S. cerevisiae and S. pombe) and five animals, including C. elegans, D. melanogaster, X. laevis, M. musculus and H. sapiens. From the related literature of PubMed, numerous proteins have been manually curated to be localized on at least one of the sub-cellular localizations of kinetochore, centrosome and midbody. And to promise the quality of data, based on the rationale of Seeing is believing (Bloom K et al., 2005), these proteins have been unambiguously observed under fluorescent microscope as directly supportive evidences. Then an integrated and searchable database MiCroKit - Midbody, Centrosome and Kinetochore has been established. The version 1.0 of MiCroKit database was set up on Nov. 2nd, 2005, containing 1,065 unique proteins. The MiCroKit version 2.0 was released on Jun. 5th, 2006, with 1,120 entries. Currently, the MiCroKit 3.0 database was updated on July 9, 2009, containing 1,489 unique protein entries. The online service of MiCroKit 3.0 was implemented in PHP + MySQL + JavaScript. And the local packages of MiCroKit 3.0 were developed in JAVA 1.5 (J2SE). The database will be updated routinely as new microkit proteins are reported.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

SAS is a tool for applying structural information to a given protein sequence. It uses FASTA to scan a given protein sequence against all the proteins of known 3D structure in the Protein Data Bank and provides functional residue annotation based on data from the Catalytic Site Atlas and PDBsum. The web service is aimed to facilitate the use of the SAS tool when having a huge number of queries. Currently, the web service provides annotation for binding sites (to ligand, metal or nucleic acid), catalytic residues and amino acids related to protein-protein interactions.

• Resource
• SciCrunch
• 16 years ago - by Anonymous

The HumanCyc database describes human metabolic pathways and the human genome. By presenting metabolic pathways as an organizing framework for the human genome, HumanCyc provides the user with an extended dimension for functional analysis of Homo sapiens at the genomic level. A computational pathway analysis of the human genome assigned human enzymes to predicted metabolic pathways. Pathway assignments place genes in their larger biological context, and are a necessary step toward quantitative modeling of metabolism. HumanCyc contains the complete genome sequence of Homo sapiens, as presented in Build 31. Data on the human genome from Ensembl, LocusLink and GenBank were carefully merged to create a minimally redundant human gene set to serve as an input to SRI''s PathoLogic software, which generated the database and predicted Homo sapiens metabolic pathways from functional information contained in the genome''s annotation. SRI did not re-annotate the genome, but worked with the gene function assignments in Ensembl, LocusLink, and GenBank. The resulting pathway/genome database (PGDB) includes information on 28,783 genes, their products and the metabolic reactions and pathways they catalyze. Also included are many links to other databases and publications. The Pathway Tools software/database bundle includes HumanCyc and the Pathway Tools software suite and is available under license. This form of HumanCyc is faster and more powerful than the Web version.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Hierarchically-organized annotated list of approximately 2,500 neuroscience-related web resources. Last update August 2009. Major Topics include: Anatomy: Non-primate Anatomy: Primate (including Atlases) Computing: CS, IT, AI Conditions: Affective Conditions: Agnosia, Aphasia, Dyslexia Conditions: Alzheimer Conditions: Autism Spectrum Conditions: Developmental, Learning, Attentional Conditions: Epilepsy Conditions: Miscellaneous Other Conditions: Multiple Sclerosis Conditions: Neuromuscular Conditions: Stroke, Trauma, Tumor General: Dictionaries, Glossaries, Encyclopedias General: Link Lists, Resource Lists, Organizations Mind: Cognitive Science Mind: Consciousness, Philosophy Physiology: Cardiovascular System Physiology: Cellular, Synapse Physiology: Muscle Physiology: Neurochemistry, Pharmacology Physiology: Sleep Physiology: Speech, Language Physiology: Systems Psychology: Behavior, General Psychology: Illusions, Sensory Phenomena, Synesthesia Psychology: Learning Theory Senses: Auditory, Vestibular Senses: Chemical Senses: Somatic, Proprioceptive, Pain Senses: Vision, Art Techniques: Assistive Technology, Rehabilitation Techniques: Data Mining, Data Visualization Techniques: Math Techniques: Microscopy Techniques: Neuroimaging Techniques: Scientific Method Techniques: Virtual Reality, 3D, SL, OS, VRML

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Software application (entry from Genetic Analysis Software)

• Resource
• SciCrunch
• 14 years ago - by Anonymous

The Stanley Medical Research Institute (SMRI) is a nonprofit organization supporting research on the causes of, and treatments for, schizophrenia and bipolar disorder. Since it began in 1989, SMRI has supported more than $300 million in research in over 30 countries around the world. It is the largest nongovernmental source of funds for research on these diseases in the United States. Schizophrenia and bipolar disorder are the most important psychiatric disorders in the United States, affecting more than 4 million people at any given time. Until recent years, little research had been done on these diseases, and the treatment of them was unsatisfactory. The neuroscience revolution has brought with it great opportunities for increased understanding of brain diseases such as schizophrenia and bipolar disorder. SMRI is on the leading edge of this exciting research. Approximately 75 percent of SMRI expenditures goes towards the development of new treatments for schizophrenia and bipolar disorder. The remaining funds are used for research on the causes of these diseases. SMRI has a close relationship with and is the supporting organization for the Treatment Advocacy Center (TAC). The Treatment Advocacy Center is a nonprofit organization dedicated to eliminating barriers to the timely and effective treatment of severe psychiatric disorders. TAC promotes laws, policies, and practices for the delivery of psychiatric care and supports the development of innovative treatments for and research into the causes of severe and persistent psychiatric disorders, such as schizophrenia and bipolar disorder.

• Resource
• SciCrunch
• 16 years ago - by Anonymous

A curated collection of all the trapped ES cell clones. Gene-trapping is a valuable tool that uses random mutagenesis to create hypomorphic or null alleles by insertion of exogenous DNA. Since numerous public and private projects have been performing gene trapping over the last few years,it is natural that large overlaps exist and some vectors produce better knock-outs than others due to their insertion site. Considering the high need to develop a comprehensive database that would include both public and private data to provide public access to this essential biological resource, we developed UniTrap, a curated collection of all the trapped ES cell clones, collected from public and private databases. We have developed a bioinformatics pipeline to automate the identification and characterization of trapped genes starting from their transcriptional sequence tags.We process gene trap sequence tags from ES cell clones to generate ‘UniTraps’, i.e. distinct collections of unambiguous insertions at the same subgenic region of annotated genes (RefSeq and Ensembl genes). The UniTrap resource contains data relative to well-known trapped genes. We aim to provide the wet lab researchers with a comprehensive, regularly updated database and curated tools for(i) identifying and comparing the clones carrying a trap into the genes of interest,(ii) evaluating the severity of the mutation to the protein function in each independent trapping event, and(iii) supplying complete information to perform PCR, RT-PCR and restriction experiments to verify the clone and identify the exact point of vector insertion.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

A relational database containing all structural proteins of Arthropod cuticle identified to date. Many come from direct sequencing of proteins isolated from cuticle and from sequences from cDNAs that share common features with these authentic cuticular proteins. It also includes proteins from the five sequenced genomes where manual annotation has been applied to cuticular proteins: Anopheles gambiae, Apis mellifera, Bombyx mori, Drosophila melanogaster, and Nasonia vitripennis. Some sequences were confirmed as authentic cuticular proteins because protein sequencing revealed that they were present in cuticle; others were identified by sequence homology and other criteria. Entries provides information about whether sequences are putative or authentic cuticular proteins. CuticleDB was primarily designed to contain correct and full annotation of cuticular protein data. The database will be of help to future genome annotators. Users will be able to test hypotheses for the existence of known and also of yet unknown motifs in cuticular proteins. An analysis of motifs may contribute to understanding how proteins contribute to the physical properties of cuticle as well as to the precise nature of their interaction with chitin.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

AAindex is a database of numerical indices representing various physicochemical and biochemical properties of amino acids and pairs of amino acids. AAindex consists of three sections now: AAindex1 for the amino acid index of 20 numerical values, AAindex2 for the amino acid mutation matrix and AAindex3 for the statistical protein contact potentials. All data are derived from published literature. An amino acid index is a set of 20 numerical values representing any of the different physicochemical and biological properties of amino acids. The AAindex1 section of the Amino Acid Index Database is a collection of published indices together with the result of cluster analysis using the correlation coefficient as the distance between two indices. This section currently contains 544 indices. Another important feature of amino acids that can be represented numerically is the similarity between amino acids. Thus, a similarity matrix, also called a mutation matrix, is a set of 210 numerical values, 20 diagonal and 20x19/2 off-diagonal elements, used for sequence alignments and similarity searches. The AAindex2 section of the Amino Acid Index Database is a collection of published amino acid mutation matrices together with the result of cluster analysis. This section currently contains 94 matrices. In the release 9.0, we added a collection of published protein pairwise contact potentials to AAindex as AAindex3. This section currently contains 47 contact potential matrices. Sponsors: This work was supported by grants and resources from the Ministry of Education, Culture, Sports, Science and Technology, and the Japan Science and Technology Agency, and the Bioinformatics Center, Institute for Chemical Research, Kyoto University and the Super Computer System, Human Genome Center, Institute of Medical Science, University of Tokyo.

• Resource
• SciCrunch
• 17 years ago - by Anonymous